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JNTUK R16 JNTUK R16 B.Tech CSE All Subjects Materials
Applied Physics
Applied Chemistry
Advanced Data Structures
Advanced Data Structures Lab
Artificial Intelligence
Artificial Neural Networks
Big Data Analytics
Computer Programming
Computer Programming Lab
Computer Graphics
Computer Organization
Compiler Design
Computer Networks
Cyber Security
Cryptography and Network Security
Cloud Computing
Concurrent and Parallel Programming
Digital Logic Design
Data Structures through C++
Data Structures through C++Lab
Database Management Systems
Database Management System Lab
Data Warehousing and Mining
Design and Analysis of Algorithms

Digital Signal Processing
Data Warehousing and Mining Lab
Distributed Systems
English – I
Engineering Drawing


English - Communication Skills Lab - 1
English – II
Environmental Studies
Engineering Mechanics
English - Communication Skills Lab – 2


Embbeded Systems
Formal Languages and Automata Theory
Internet of Things
Information Retrieval Systems
Java Programming


Java Programming Lab
Mathematics - I
Mathematics – II (Mathematical Methods)
Mathematics - III
Mathematical Foundations of Computer Science


Managerial Economics and Financial Analysis
Mobile Computing
Management Science
Machine Learning
Network Programming Lab


Object Oriented Programming through C++
Object Oriented Programming Lab
Object Oriented Analysis and Design using UML
Operating Systems
Operating System & Linux Programming Lab


Operations Research
Python Programming
Python Programming Lab
Principles of Programming Languages
Robotics


Statistics with R Programming
Software Engineering
Software Testing Methodologies
Software Testing Lab
Software Architecture & Design Patterns


Software Project Management
Scripting Languages
Software Architecture& Design Patterns Lab
Unix Programming
Unified Modeling Lab


Web Technologies
Web Technologies Lab


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    Artificial Intelligence

    ♦AI is the simulation of human intelligence processes by machines, especially computer systems.
    ♦These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction.
    ♦Particular applications of AI include expert systems, speech recognition and machine vision.

    Paris

    Machine Learning

    ♦Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use in order to perform a specific task effectively without using explicit instructions.
    ♦It is seen as a subset of artificial intelligence.
    ♦ML Algorithms are used in a wide variety of applications, such as email filtering, and computer vision, where it is infeasible to develop an algorithm of specific instructions for performing the task

    Paris

    JavaScript

    ♦JavaScript is a high-level, interpreted programming language for computers.
    ♦It is often run in web browser applications to create things that work by themselves like a popup message or a live clock.
    ♦It is not related to the programming language Java.
    ♦Although Java and JavaScript have many external similarities such as name and syntax, the two languages follow different design principles.

    Paris

    Deep Learning

    ♦Deep learning is part of a broader family of machine learning methods based on artificial neural networks.
    ♦Deep learning also known as deep structured learning or hierarchical learning.
    ♦Deep learning architectures such as deep neural networks, deep belief networks, recurrent neural networks and convolutional neural networks have been applied to fields including computer vision.

    Paris

    Data Science

    ♦Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
    ♦Data science is the same concept as data mining and big data: "use the most powerful hardware, the most powerful programming systems, and the most efficient algorithms to solve problems.
    ♦Data science is a "concept to unify statistics, data analysis, machine learning and their methods.

    Paris

    Python

    ♦Python is an interpreted, high-level, general-purpose programming language.
    ♦Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant whitespace.
    ♦Python is dynamically typed and garbage-collected. It supports multiple programming paradigms, including procedural, object-oriented, and functional programming.

    Paris

    Cloud Computing

    ♦Cloud Computing means storing and accessing data and programs over the Internet instead of your computer's hard drive.
    ♦The cloud is just a metaphor for the Internet.
    ♦It goes back to the days of flowcharts and presentations that would represent the gigantic server-farm infrastructure of the Internet as nothing but a puffy, white cumulus cloud, accepting connections and doling out information as it floats.

    Paris

    Ethical Hacking

    ♦It is also called as Penetration Testing is an act of intruding/penetrating into system or networks to find out threats, vulnerabilities in those systems which a malicious attacker may find and exploit causing loss of data or other damages.
    ♦Ethical hackers may use the same methods and tools used by the malicious hackers but with the permission of the authorized person for the purpose of improving the security and defending the systems from attacks by malicious users.

    Paris

    Anjular JavaScript

    ♦AngularJS is a client side JavaScript MVC framework to develop a dynamic web application. AngularJS was originally started as a project in Google but now, it is open source framework.
    ♦AngularJS is entirely based on HTML and JavaScript, so there is no need to learn another syntax or language.
    ♦AngularJS changes static HTML to dynamic HTML. It extends the ability of HTML by adding built-in attributes and components.

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    Jntuk R16 Materials

    ♦  I Year I Semister
     ♦ I Year II Semister
     ♦ II Year I Semister
      ♦ II Year II Semister
      ♦ III Year I Semister
       ♦ III Year II Semister
     ♦ IV Year I Semister
      ♦ IV Year II Semister

    Jntuk R16 Lectures Notes

    ♦  I Year I Semister
     ♦ I Year II Semister
     ♦ II Year I Semister
      ♦ II Year II Semister
      ♦ III Year I Semister
       ♦ III Year II Semister
     ♦ IV Year I Semister
      ♦ IV Year II Semister

    Jntuk R16 Lab Manuals

    ♦  I Year I Semister
     ♦ I Year II Semister
     ♦ II Year I Semister
      ♦ II Year II Semister
      ♦ III Year I Semister
       ♦ III Year II Semister
     ♦ IV Year I Semister
      ♦ IV Year II Semister

    Jntuk R16 Syllabus Books

    ♦  I Year I Semister
     ♦ I Year II Semister
     ♦ II Year I Semister
      ♦ II Year II Semister
      ♦ III Year I Semister
       ♦ III Year II Semister
     ♦ IV Year I Semister
      ♦ IV Year II Semister
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